Articles | Volume 16, issue 2
https://doi.org/10.5194/hess-16-357-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-16-357-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Feb 2012
Research article |
| 06 Feb 2012
Physically-based modeling of topographic effects on spatial evapotranspiration and soil moisture patterns through radiation and wind
M. Liu
State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China
Helmholtz Research Centre for Environment, Magdeburg, Germany
A. Bárdossy
Institute of Modelling Hydraulic and Environmental Systems, University Stuttgart, Stuttgart, Germany
J. Li
School of Civil, Environmental and Mining Engineering, the University of Adelaide, Adelaide, Australia
Y. Jiang
State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China
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Cited
14 citations as recorded by crossref.
- Evaluation of a Multivariate Statistical Downscaling Method over Canada's Largest Pacific Basin S. Sobie et al. https://doi.org/10.1080/07055900.2025.2478829
- Evapotranspiration of an Abandoned Grassland in the Italian Alps: Influence of Local Topography, Intra- and Inter-Annual Variability and Environmental Drivers D. Gisolo et al. https://doi.org/10.3390/atmos13060977
- Impact of radiations on the long-range correlation of soil moisture: A case study of the A’rou superstation in the Heihe River Basin T. Zhang et al. https://doi.org/10.1007/s11442-019-1673-3
- Spatial Downscaling of Satellite-Based Soil Moisture Products Using Machine Learning Techniques: A Review I. Senanayake et al. https://doi.org/10.3390/rs16122067
- Modelling evaporation with local, regional and global BROOK90 frameworks: importance of parameterization and forcing I. Vorobevskii et al. https://doi.org/10.5194/hess-26-3177-2022
- Identifying multivariate controls of soil moisture variations using multiple wavelet coherence in the U.S. Midwest X. Gu et al. https://doi.org/10.1016/j.jhydrol.2021.126755
- Quantifying Long Term (2000–2020) Water Balances Across Nepal by Integrating Remote Sensing and an Ecohydrological Model K. Jin et al. https://doi.org/10.3390/rs17111819
- Simulation of Actual Evapotranspiration and Evaluation of Three Complementary Relationships in Three Parallel River Basins Y. Jiang & Z. Liu https://doi.org/10.1007/s11269-022-03294-y
- The role of landscape heterogeneity in regulating plant functional diversity under different precipitation and grazing regimes in semi-arid savannas T. Guo et al. https://doi.org/10.1016/j.ecolmodel.2018.04.009
- Using expert knowledge to increase realism in environmental system models can dramatically reduce the need for calibration S. Gharari et al. https://doi.org/10.5194/hess-18-4839-2014
- Topographic position, but not slope aspect, drives the dominance of functional strategies of tropical dry forest trees M. Méndez-Toribio et al. https://doi.org/10.1088/1748-9326/aa717b
- Use of AquaCrop model for estimating crop evapotranspiration and biomass production in hilly topography N. Boudhina et al. https://doi.org/10.1007/s12517-019-4434-9
- Gravitational and capillary soil moisture dynamics for distributed hydrologic models A. Castillo et al. https://doi.org/10.5194/hess-19-1857-2015
- Knowledge-guided graph machine learning for spatially distributed prediction of daily discharge and nitrogen export dynamics J. Yang et al. https://doi.org/10.1016/j.watres.2026.125613
14 citations as recorded by crossref.
- Evaluation of a Multivariate Statistical Downscaling Method over Canada's Largest Pacific Basin S. Sobie et al. https://doi.org/10.1080/07055900.2025.2478829
- Evapotranspiration of an Abandoned Grassland in the Italian Alps: Influence of Local Topography, Intra- and Inter-Annual Variability and Environmental Drivers D. Gisolo et al. https://doi.org/10.3390/atmos13060977
- Impact of radiations on the long-range correlation of soil moisture: A case study of the A’rou superstation in the Heihe River Basin T. Zhang et al. https://doi.org/10.1007/s11442-019-1673-3
- Spatial Downscaling of Satellite-Based Soil Moisture Products Using Machine Learning Techniques: A Review I. Senanayake et al. https://doi.org/10.3390/rs16122067
- Modelling evaporation with local, regional and global BROOK90 frameworks: importance of parameterization and forcing I. Vorobevskii et al. https://doi.org/10.5194/hess-26-3177-2022
- Identifying multivariate controls of soil moisture variations using multiple wavelet coherence in the U.S. Midwest X. Gu et al. https://doi.org/10.1016/j.jhydrol.2021.126755
- Quantifying Long Term (2000–2020) Water Balances Across Nepal by Integrating Remote Sensing and an Ecohydrological Model K. Jin et al. https://doi.org/10.3390/rs17111819
- Simulation of Actual Evapotranspiration and Evaluation of Three Complementary Relationships in Three Parallel River Basins Y. Jiang & Z. Liu https://doi.org/10.1007/s11269-022-03294-y
- The role of landscape heterogeneity in regulating plant functional diversity under different precipitation and grazing regimes in semi-arid savannas T. Guo et al. https://doi.org/10.1016/j.ecolmodel.2018.04.009
- Using expert knowledge to increase realism in environmental system models can dramatically reduce the need for calibration S. Gharari et al. https://doi.org/10.5194/hess-18-4839-2014
- Topographic position, but not slope aspect, drives the dominance of functional strategies of tropical dry forest trees M. Méndez-Toribio et al. https://doi.org/10.1088/1748-9326/aa717b
- Use of AquaCrop model for estimating crop evapotranspiration and biomass production in hilly topography N. Boudhina et al. https://doi.org/10.1007/s12517-019-4434-9
- Gravitational and capillary soil moisture dynamics for distributed hydrologic models A. Castillo et al. https://doi.org/10.5194/hess-19-1857-2015
- Knowledge-guided graph machine learning for spatially distributed prediction of daily discharge and nitrogen export dynamics J. Yang et al. https://doi.org/10.1016/j.watres.2026.125613
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